AI RESEARCH
Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
arXiv CS.LG
•
ArXi:2603.07415v1 Announce Type: new Catastrophic forgetting remains a central challenge in continual learning (CL), yet lacks a unified information-theoretic explanation for why some architectures forget catastrophically while others do not.